PhD, 2019: Hydrology, Tsinghua University, Beijing, China.
BSc, 2014: Hydraulic engineering, Tsinghua University, Beijing, China.
2019-present: Postdoctoral Fellow, University of Saskatchewan, Canmore, Alberta, CANADA.
Guoqiang Tang is a Postdoctoral Fellow at the University of Saskatchewan at Canmore, and an associate editor for Journal of Hydrology. Guoqiang’s research focuses on development of large-scale meteorological datasets, hydrologic modeling, satellite precipitation, and machine learning in Earth science. Guoqiang has authored or co-authored over 60 journal articles in leading international journals, including Bulletin of the American Meteorological Society, Earth System Science Data, Remote sensing of Environment, Water Resources Research, Journal of Climate, Geophysical Research Letters, etc.
Hobbi Salma, Michael Papalexiou Simon, Rupa Rajulapati Chandra, Nerantzaki Sofia D., Markonis Yannis, Tang Guoqiang, Clark Martyn P., 2022: Detailed investigation of discrepancies in Köppen-Geiger climate classification using seven global gridded products. Journal of Hydrology, doi: 10.1016/j.jhydrol.2022.128121
Li Zhi, Tang Guoqiang, Kirstetter Pierre, Gao Shang, Li J. -L. F., Wen Yixin, Hong Yang, 2022: Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states. Journal of Hydrology, doi: 10.1016/j.jhydrol.2021.127357
Liu B., Wan W., Tang Guoqiang, Li H., Guo Z., Chen X., Hong Yang, 2022: Statistical Analysis of CyGNSS Speckle and Its Applications to Surface Water Mapping. Ieee Transactions On Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3196012
Lu Xin-yu, Chen Yuan-yuan, Tang Guo-qiang, Wang Xiu-qin, Liu Yan, Wei Ming, 2022: Quantitative estimation of hourly precipitation in the Tianshan Mountains based on area-to-point kriging downscaling and satellite-gauge data merging. Journal of Mountain Science, doi: 10.1007/s11629-021-6901-5
Sui Xinxin, Li Zhi, Tang Guoqiang, Yang Zong-Liang, Niyogi Dev, 2022: Disentangling error structures of precipitation datasets using decision trees. Remote Sensing of Environment, doi: 10.1016/j.rse.2022.113185
Sun He, Yao Tandong, Su Fengge, He Zhihua, Tang Guoqiang, Li Ning, Zheng Bowen, Huang Jingheng, Meng Fanchong, Ou Tinghai, Chen Deliang, 2022: Corrected ERA5 precipitation by machine learning significantly improved flow simulations for the Third Pole basins. Journal of Hydrometeorology, doi: 10.1175/JHM-D-22-0015.1
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, 2022: EM-Earth: The Ensemble Meteorological Dataset for Planet Earth. Bulletin of the American Meteorological Society, doi: 10.1175/BAMS-D-21-0106.1
Xiong Wentao, Tang Guoqiang, Shen Yan, 2022: Cross-Evaluation of Soil Moisture Based on the Triple Collocation Method and a Preliminary Application of Quality Control for Station Observations in China. Water, doi: 10.3390/w14071054
Xiong Wentao, Tang Guoqiang, Wang Tsechun, Ma Ziqiang, Wan Wei, 2022: Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale. Water, doi: 10.3390/w14071122
Zhang Dasheng, Yang Mingxiang, Ma Meihong, Tang Guoqiang, Wang Tsechun, Zhao Xun, Ma Suying, Wu Jin, Wang Wei, 2022: Can GPM IMERG Capture Extreme Precipitation in North China Plain?. Remote Sensing, doi: unknown
Clark Martyn P., Vogel Richard M., Lamontagne Jonathan R., Mizukami Naoki, Knoben Wouter J. M., Tang Guoqiang, Gharari Shervan, Freer Jim E., Whitfield Paul H., Shook Kevin, Papalexiou Simon, 2021: The abuse of popular performance metrics in hydrologic modeling. Water Resources Research, doi: 10.1029/2020WR029001
Hong Zhongkun, Han Zhongying, Li Xueying, Long Di, Tang Guoqiang, Wang Jianhua, 2021: Generation of an improved precipitation data set from multisource information over the Tibetan Plateau. Journal of Hydrometeorology, doi: 10.1175/JHM-D-20-0252.1
Li Zhi, Tang Guoqiang, Hong Zhen, Chen Mengye, Gao Shang, Kirstetter Pierre, Gourley Jonathan J., Wen Yixin, Yami Teshome, Nabih Soumaya, Hong Yang, 2021: Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology rates and extremes. Journal of Hydrology, doi: 10.1016/j.jhydrol.2021.125975
Lu Xinyu, Tang Guoqiang, Liu Xinchun, Wang Xiuqin, Liu Yan, Wei Ming, 2021: The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia. Atmospheric Research, doi: 10.1016/j.atmosres.2021.105452
Ma Meihong, Wang Huixiao, Yang Yan, Zhao Gang, Tang Guoqiang, Hong Zhen, Clark III Robert A., Chen Yun, Xu Hui, Hong Yang, 2021: Development of a new rainfall-triggering index of flash flood warning-case study in Yunnan province China. Journal of Flood Risk Management, doi: 10.1111/jfr3.12676
Tang Guoqiang, 2021: Characterization of the Systematic and Random Errors in Satellite Precipitation Using the Multiplicative Error Model. Ieee Transactions On Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3028525
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, Newman Andrew J., Wood Andrew W., Brunet Dominique, Whitfield Paul H., 2021: EMDNA: an Ensemble Meteorological Dataset for North America. Earth System Science Data, doi: 10.5194/essd-13-3337-2021
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, 2021: SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019. Journal of Climate, doi: 10.1175/JCLI-D-21-0067.1
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, 2021: The Use of Serially Complete Station Data to Improve the Temporal Continuity of Gridded Precipitation and Temperature Estimates. Journal of Hydrometeorology, doi: 10.1175/JHM-D-20-0313.1
Wang Cunguang, Tang Guoqiang, Xiong Wentao, Ma Ziqiang, Zhu Siyu, 2021: Infrared precipitation estimation using convolutional neural network for FengYun satellites. Journal of Hydrology, doi: 10.1016/j.jhydrol.2021.127113
Wang Cunguang, Tang Guoqiang, Gentine Pierre, 2021: PrecipGAN: Merging Microwave and Infrared Data for Satellite Precipitation Estimation Using Generative Adversarial Network. Geophysical Research Letters, doi: 10.1029/2020GL092032
Feng Kepeng, Hong Yang, Tian Juncang, Luo Xiangyu, Tang Guoqiang, Kan Guangyuan, 2020: Evaluating applicability of multi-source precipitation datasets for runoff simulation of small watersheds: a case study in the United States. European Journal of Remote Sensing, doi: 10.1080/22797254.2020.1819169
Li Hongyi, Zhong Xiaoyong, Ma Ziqiang, Tang Guoqiang, Ding Leiding, Sui Xinxin, Xu Jintao, He Yu, 2020: Climate Changes and Their Teleconnections With ENSO Over the Last 55 Years 1961–2015 in Floods-Dominated Basin Jiangxi Province China. Earth and Space Science, doi: 10.1029/2019EA001047
Li Zhi, Chen Mengye, Gao Shang, Hong Zhen, Tang Guoqiang, Wen Yixin, Gourley Jonathan J., Hong Yang, 2020: Cross-Examination of Similarity Difference and Deficiency of Gauge Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Remote Sensing, doi: 10.3390/rs12081258
Lu Xinyu, Tang Guoqiang, Wang Xiuqin, Liu Yan, Wei Ming, Zhang Yingxin, 2020: The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products. Remote Sensing, doi: 10.3390/rs12030398
Lyu Feng, Tang Guoqiang, Behrangi Ali, Wang Tsechun, Tan Xiao, Ma Ziqiang, Xiong Wentao, 2020: Precipitation Merging Based on the Triple Collocation Method Across Mainland China. Ieee Transactions On Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3008033
Ma Ziqiang, Xu Jintao, Zhu Siyu, Yang Jun, Tang Guoqiang, Yang Yuanjian, Shi Zhou, Hong Yang, 2020: AIMERG: a new Asian precipitation dataset (0.1°/half-hourly 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE. Earth System Science Data, doi: 10.5194/essd-12-1525-2020
Ma Meihong, Wang Huixiao, Jia Pengfei, Tang Guoqiang, Wang Dacheng, Ma Ziqiang, Yan Haiming, 2020: Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan China. Remote Sensing, doi: 10.3390/rs12121954
Rajulapati Chandra Rupa, Papalexiou Simon Michael, Clark Martyn P., Razavi Saman, Tang Guoqiang, Pomeroy John W., 2020: Assessment of Extremes in Global Precipitation Products: How Reliable Are They?. Journal of Hydrometeorology, doi: 10.1175/JHM-D-20-0040.1
Sun Alexander Y., Tang Guoqiang, 2020: Downscaling Satellite and Reanalysis Precipitation Products Using Attention-Based Deep Convolutional Neural Nets. Frontiers in Water, doi: 10.3389/frwa.2020.536743
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, Ma Ziqiang, Hong Yang, 2020: Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets. Remote Sensing of Environment, doi: 10.1016/j.rse.2020.111697
Tang Guoqiang, Clark Martyn P., Newman Andrew J., Wood Andrew W., Papalexiou Simon Michael, Vionnet Vincent, Whitfield Paul H., 2020: SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018. Earth System Science Data, doi: 10.5194/essd-12-2381-2020
Wang Cunguang, Xu Jing, Tang Guoqiang, Yang Yi, Hong Yang, 2020: Infrared Precipitation Estimation Using Convolutional Neural Network. Ieee Transactions On Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.2989183
Wang Tsechun, Tang Guoqiang, 2020: Spatial Variability and Linkage Between Extreme Convections and Extreme Precipitation Revealed by 22-Year Space-Borne Precipitation Radar Data. Geophysical Research Letters, doi: 10.1029/2020GL088437
Lu Xinyu, Tang Guoqiang, Wang Xiuqin, Liu Yan, Jia Lihong, Xie Guohui, Li Shuai, Zhang Yingxin, 2019: Correcting GPM IMERG precipitation data over the Tianshan Mountains in China. Journal of Hydrology, doi: 10.1016/j.jhydrol.2019.06.019
Xu Jintao, Ma Ziqiang, Tang Guoqiang, Ji Qingwen, Min Xiaoxiao, Wan Wei, Shi Zhou, 2019: Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer 2018. Remote Sensing, doi: 10.3390/rs11242992
Lu Xinyu, Wei Ming, Tang Guoqiang, Zhang Yingxin, 2018: Evaluation and correction of the TRMM 3B43V7 and GPM 3IMERGM satellite precipitation products by use of ground-based data over Xinjiang China. Environmental Earth Sciences, doi: 10.1007/s12665-018-7378-6
Chen Cheng, Chen Qiuwen, Duan Zheng, Zhang Jianyun, Mo Kangle, Li Zhe, Tang Guoqiang, 2018: Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China. Remote Sensing, doi: 10.3390/rs10060944
Cui Yaokui, Chen Xi, Gao Jinyu, Yan Binyan, Tang Guoqiang, Hong Yang, 2018: Global water cycle and remote sensing big data: overview challenge and opportunities. Big Earth Data, doi: 10.1080/20964471.2018.1548052
Li Changming, Tang Guoqiang, Hong Yang, 2018: Cross-evaluation of ground-based multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.04.039
Lu Xinyu, Tang Guoqiang, Wei Ming, Yang Lianmei, Zhang Yingxin, 2018: Evaluation of multi-satellite precipitation products in Xinjiang China. International Journal of Remote Sensing, doi: 10.1080/01431161.2018.1471246
Ma Yingzhao, Yang Yuan, Han Zhongying, Tang Guoqiang, Maguire Lane, Chu Zhigang, Hong Yang, 2018: Comprehensive evaluation of Ensemble Multi-Satellite Precipitation Dataset using the Dynamic Bayesian Model Averaging scheme over the Tibetan plateau. Journal of Hydrology, doi: 10.1016/j.jhydrol.2017.11.050
Ma Yingzhao, Hong Yang, Chen Yang, Yang Yuan, Tang Guoqiang, Yao Yunjun, Long Di, Li Changmin, Han Zhongying, Liu Ronghua, 2018: Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau. Journal of Geophysical Research-Atmospheres, doi: 10.1002/2017jd026648
Tang Guoqiang, Behrangi Ali, Long Di, Li Changming, Hong Yang, 2018: Accounting for spatiotemporal errors of gauges: A critical step to evaluate gridded precipitation products. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.02.057
Tang Guoqiang, Long Di, Hong Yang, Gao Jinyu, Wan Wei, 2018: Documentation of multifactorial relationships between precipitation and topography of the Tibetan Plateau using spaceborne precipitation radars. Remote Sensing of Environment, doi: 10.1016/j.rse.2018.02.007
Tang Guoqiang, Behrangi Ali, Ma Ziqiang, Long Di, Hong Yang, 2018: Downscaling of ERA-Interim Temperature in the Contiguous United States and Its Implications for Rain–Snow Partitioning. Journal of Hydrometeorology, doi: 10.1175/jhm-d-18-0041.1
Tang G. Q., Long D., Behrangi A., Wang C. G., Hong Y., 2018: Exploring Deep Neural Networks to Retrieve Rain and Snow in high Latitudes Using Multisensor and reanalysis Data. Water Resour Res, doi: 10.1029/2018wr023830
Wang Cunguang, Tang Guoqiang, Han Zhongying, Guo Xiaolin, Hong Yang, 2018: Global intercomparison and regional evaluation of GPM IMERG Version-03 Version-04 and its latest Version-05 precipitation products: Similarity difference and improvements. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.06.064
Gao Zhen, Long Di, Tang Guoqiang, Zeng Chao, Huang Jiesheng, Hong Yang, 2017: Assessing the potential of satellite-based precipitation estimates for flood frequency analysis in ungauged or poorly gauged tributaries of China’s Yangtze River basin. Journal of Hydrology, doi: 10.1016/j.jhydrol.2017.05.025
Gao Jinyu, Tang Guoqiang, Hong Yang, 2017: Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation Type Classification and Vertical Profiling. Remote Sensing, doi: 10.3390/rs9111142
Gruber Alexander, Dorigo Wouter Arnoud, Crow Wade, Wagner Wolfgang, 2017: Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. Ieee Transactions On Geoscience and Remote Sensing, doi: 10.1109/TGRS.2017.2734070
Kan Guangyuan, Tang Guoqiang, Yang Yuan, Hong Yang, Li Jiren, Ding Liuqian, He Xiaoyan, Liang Ke, He Lian, Li Zhansheng, Hu Youbing, Cui Yaokui, 2017: An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin China. Water, doi: 10.3390/w9110904
Li Na, Tang Guoqiang, Zhao Ping, Hong Yang, Gou Yabin, Yang Kai, 2017: Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis IMERG in Ganjiang River basin. Atmospheric Research, doi: 10.1016/j.atmosres.2016.07.020
Tang Guoqiang, Zeng Ziyue, Ma Meihong, Liu Ronghua, Wen Yixin, Hong Yang, 2017: Can Near-Real-Time Satellite Precipitation Products Capture Rainstorms and Guide Flood Warning for the 2016 Summer in South China?. Ieee Geoscience and Remote Sensing Letters, doi: 10.1109/lgrs.2017.2702137
Tang Guoqiang, Wen Yixin, Gao Jinyu, Long Di, Ma Yingzhao, Wan Wei, Hong Yang, 2017: Similarities and differences between three coexisting spaceborne radars in global rainfall and snowfall estimation. Water Resour Res, doi: 10.1002/2016wr019961
Yang Yuan, Tang Guoqiang, Lei Xiaohui, Hong Yang, Yang Na, 2017: Can Satellite Precipitation Products Estimate Probable Maximum Precipitation: A Comparative Investigation with Gauge Data in the Dadu River Basin. Remote Sensing, doi: 10.3390/rs10010041
Zeng Ziyue, Tang Guoqiang, Hong Yang, Zeng Chao, Yang Yuan, 2017: Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications. Remote Sensing Letters, doi: 10.1080/2150704x.2017.1297544
Zhong Lingzhi, Yang Rongfang, Chen Lin, Wen Yixin, Li Ruiyi, Tang Guoqiang, Hong Yang, 2017: Combined Space and Ground Radars for Improving Quantitative Precipitation Estimations in the Eastern Downstream Region of the Tibetan Plateau. Part I: Variability in the Vertical Structure of Precipitation in ChuanYu Analyzed from Long-Term Spaceborne Observations by TRMM PR. Journal of Applied Meteorology and Climatology, doi: 10.1175/jamc-d-16-0382.1
Ma Yingzhao, Tang Guoqiang, Long Di, Yong Bin, Zhong Lingzhi, Wan Wei, Hong Yang, 2016: Similarity and Error Intercomparison of the GPM and Its Predecessor-TRMM Multisatellite Precipitation Analysis Using the Best Available Hourly Gauge Network over the Tibetan Plateau. Remote Sensing, doi: 10.3390/rs8070569
Tang Guoqiang, Ma Yingzhao, Long Di, Zhong Lingzhi, Hong Yang, 2016: Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales. Journal of Hydrology, doi: 10.1016/j.jhydrol.2015.12.008
Tang Guoqiang, Zeng Ziyue, Long Di, Guo Xiaolin, Yong Bin, Zhang Weihua, Hong Yang, 2016: Statistical and Hydrological Comparisons between TRMM and GPM Level-3 Products over a Midlatitude Basin: Is Day-1 IMERG a Good Successor for TMPA 3B42V7?. Journal of Hydrometeorology, doi: 10.1175/jhm-d-15-0059.1
Tang Guoqiang, Long Di, Hong Yang, 2016: Systematic Anomalies Over Inland Water Bodies of High Mountain Asia in TRMM Precipitation Estimates: No Longer a Problem for the GPM Era?. Ieee Geoscience and Remote Sensing Letters, doi: 10.1109/lgrs.2016.2606769
Zeng Z., Tang G., Long D., Zeng C., Ma M., Hong Y., Xu H., Xu J., 2016: A cascading flash flood guidance system: development and application in Yunnan Province China. Natural Hazards, doi: 10.1007/s11069-016-2535-2
Zhang Yu, Hong Yang, Wang Xuguang, Gourley Jonathan J., Xue Xianwu, Saharia Manabendra, Ni Guangheng, Wang Gaili, Huang Yong, Chen Sheng, Tang Guoqiang, 2015: Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems?. Journal of Hydrometeorology, doi: 10.1175/jhm-d-14-0048.1
Chen S., Liu H., You Y., Mullens E., Hu J., Yuan Y., Huang M., He L., Luo Y., Zeng X., Tang G., Hong Y., 2014: Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations. Plos One, doi: 10.1371/journal.pone.0089681
Wan Zhanming, Hong Yang, Khan Sadiq, Gourley Jonathan, Flamig Zachary, Kirschbaum Dalia, Tang Guoqiang, 2014: A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration. Environmental Modelling & Software, doi: 10.1016/j.envsoft.2014.04.007
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, 2022: EM-Earth: The Ensemble Meteorological Dataset for Planet Earth. doi: 10.1175/BAMS-D-21-0106.1
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, Newman Andrew J., Wood Andrew W., Brunet Dominique, Whitfield Paul H., 2021: EMDNA: an Ensemble Meteorological Dataset for North America. doi: 10.5194/essd-13-3337-2021
Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, 2021: SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019. doi: 10.1175/JCLI-D-21-0067.1
Tang Guoqiang, Clark Martyn P., Newman Andrew J., Wood Andrew W., Papalexiou Simon Michael, Vionnet Vincent, Whitfield Paul H., 2020: SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018. doi: 10.5194/essd-12-2381-2020
